Driver Monitoring Alert Filtering for Fleet Management
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Solution Overview
Problem
Current driver monitoring systems generate high workloads for managers due to frequent notifications of potentially non-essential alerts, as they lack the ability to differentiate between genuine monitoring requirements and false alarms, leading to inefficient management of driver fatigue and safety.
Innovation Solution
A management assistance system that includes first and second monitoring devices on vehicles to detect travel and driver physical states, respectively, wirelessly communicating with a server that determines genuine monitoring requirements based on predefined conditions, reducing unnecessary notifications to manager terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitoring device generates a warning signal whenever the biological signal deviates from the normal value, then the driver safety is improved by early warning, but the manager's workload increases due to frequent notifications
Solution Approach 1:
The server acts as an intermediary between the monitoring device and the manager. It receives monitoring information from the device, determines whether the driver is in a state requiring monitoring based on predefined conditions, and only then notifies the manager. This intermediary processing filters out non-critical alerts, reducing the manager's workload while maintaining driver safety through automated monitoring.
2Measurement precision
If the warning condition is set to detect even slight deviations from normal biological signals, then the detection precision is improved, but the quantity of notifications increases leading to high frequency alerts
Solution Approach 1:
The system applies different quality thresholds to different aspects of monitoring. The monitoring device maintains high precision in detecting biological signal deviations, but the server applies a secondary filtering criterion (whether the driver is in a state requiring monitoring) to determine which detections warrant notifications. This local differentiation allows precise detection without generating excessive notifications.
3Reliability
If the server monitors all drivers continuously to ensure safety, then the safety management is improved, but the work load imposed on the manager increases
Solution Approach 1:
The system enables self-service monitoring where the server automatically monitors all drivers continuously, processes their biological signal data, and determines when monitoring is required. This automated self-service approach maintains comprehensive safety management without requiring continuous manual intervention from the manager, thus preserving safety while reducing time loss.
Data Source
AI summary
A management assistance system includes a first monitoring device for monitoring a travel state of a target vehicle, a second monitoring device for monitoring a physical state during driving of a driver, a server, and a manager terminal. The first monitoring device transmits first monitoring information to the server when the travel state satisfies a prescribed first warning condition, and the second monitoring device transmits second monitoring information to the server when the physical state during driving satisfies a prescribed second warning condition. The server includes a determination processing unit for determining whether or not a monitoring-required determination condition based on the first monitoring information and the second monitoring information; and a transmission unit for transmitting monitoring-required notification information indicating that the driving situation of the driver reaches the monitoring-required level to the manager terminal, when the determination processing unit determines that the monitoring-required determination condition is satisfied.